Person name disambiguation

This tasks focuses on distinguishing the different individuals that are contained within the search results for a person name query. It can be defined as a clustering problem, where the input is a ranked list of n search results, and the output needs to provide both the number of different individuals identified within those results, as well as the set of pages associated with each of the individuals.

Publication
Soto Montalvo, Raquel Martínez, Víctor Fresno, Agustín Daniel Delgado, Arkaitz Zubiaga, Richard Berendsen (2017) Overview of the M-WePNaD Task: Multilingual Web Person Name Disambiguation at IberEval 2017. roceedings of the Second Workshop on Evaluation of Human Language Technologies for Iberian Languages (IberEval 2017
Competition
Multilingual Web Person Name Disambiguation (M-WePNaD)
Language
Spanish
English
NLP topic
information retrieval
Abstract task
Clustering
Dataset
M-WeP-NaD-2017
Year
2017
Publication link
http://ceur-ws.org/Vol-1881/O…
Ranking metric
F0.5

Task results

System F0.5 Reliability Sensitivity
ATMC_UNED run 3 0.81 0.80 0.84
ATMC_UNED run 4 0.81 0.79 0.85
ATMC_UNED run 2 0.80 0.82 0.79
ATMC_UNED run 1 0.79 0.79 0.83
LSI_UNED run 3 0.61 0.59 0.85

If you have published a result better than those on the list, send a message to odesia-comunicacion@lsi.uned.es indicating the result and the DOI of the article, along with a copy of it if it is not published openly.